A Literature Survey: Neural Networks for object detection


EOI: 10.11242/viva-tech.01.01.09

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Citation

Aishwarya Sarkale, Kaiwant Shah, Anandji Chaudhary, Tatwadarshi P. N., "A Literature Survey: Neural Networks for object detection", VIVA-Tech IJRI Volume 1, Issue 1, Article 9, pp. 1-9, Oct 2018. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Humans have a great capability to distinguish objects by their vision. But, for machines object detection is an issue. Thus, Neural Networks have been introduced in the field of computer science. Neural Networks are also called as ‘Artificial Neural Networks’ [13]. Artificial Neural Networks are computational models of the brain which helps in object detection and recognition. This paper describes and demonstrates the different types of Neural Networks such as ANN, KNN, FASTER R-CNN, 3D-CNN, RNN etc. with their accuracies. From the study of various research papers, the accuracies of different Neural Networks are discussed and compared and it can be concluded that in the given test cases, the ANN gives the best accuracy for the object detection.

Keywords

ANN, Neural Networks, Object Detection.

References

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